Award Abstract # 0516807
SGER: Preventing Voice Spamming

NSF Org: CNS
Division Of Computer and Network Systems
Recipient: UNIVERSITY OF NORTH TEXAS
Initial Amendment Date: August 19, 2005
Latest Amendment Date: August 19, 2005
Award Number: 0516807
Award Instrument: Standard Grant
Program Manager: Karl Levitt
CNS
 Division Of Computer and Network Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: September 1, 2005
End Date: August 31, 2006 (Estimated)
Total Intended Award Amount: $60,150.00
Total Awarded Amount to Date: $60,150.00
Funds Obligated to Date: FY 2005 = $60,150.00
History of Investigator:
  • Ram Dantu (Principal Investigator)
    rdantu@unt.edu
Recipient Sponsored Research Office: University of North Texas
1112 DALLAS DR STE 4000
DENTON
TX  US  76205-1132
(940)565-3940
Sponsor Congressional District: 13
Primary Place of Performance: University of North Texas
1112 DALLAS DR STE 4000
DENTON
TX  US  76205-1132
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): G47WN1XZNWX9
Parent UEI:
NSF Program(s): CYBER TRUST
Primary Program Source: app-0105 
Program Reference Code(s): HPCC, 9218, 9237, 7254
Program Element Code(s): 737100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

NSF 0516807

SGER: Preventing Voice Spamming

PI: Ram Dantu

This research addresses a potentially serious vulnerability in next generation voice communications: the risk that Internet-style spam messages may propagate into the voice telephone network. The proposed methodology uses a combination of trust, reputation and presence functions for filtering incoming calls in a Voice over Internet Protocol (VoIP) network. The research incorporates user feedback via a 'spam' button on the IP phone. The work will investigate synergies among different methods related to social behavior that can help reduce the number of false alarms generated by the mechanism. Data from live networks will be sought in order to validate the proposed methods. The results from this work will be available for reuse in heterogeneous networks such as SS7 over IP.

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